Statistical Methods in Cancer Research

Together with Volume I, this work provides a comprehensive account of the major types of studies in cancer epidemiology.

Author: N. E. Breslow

Publisher: World Health Organization

ISBN: 9283201825

Category: Medical

Page: 406

View: 997

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This book complements the first volume in the series, on case-control studies, and the two together provide a comprehensive account of the analysis of the major types of study in cancer epidemiology. In addition, this volume has a chapter on study design, covering both the case-control and cohort approach. The scope ranges from an account of the elementary and descriptive approaches to cohort analysis to the fitting of regression models for incidence rates with general risk functions.Particular attention is given to the use of a case-control approach embedded in a cohort study. As in the first volume, all the methods described are illustrated by examples from real studies, and the data from these studies are provided in appendices to enable the reader to go through the computations themselves. The book is intended for the medical epidemiologist with an interest in the quantitative aspects of the subject, and the statistician who is looking for a reasonably complete development of the statistical concepts and methods in current use in this area of epidemiology.

Statistical Methods for Cancer Studies

This book focuses on public health and epidemiologic aspects of cancer, and explores the sources of information concerning the frequency of occurrence of human cancer.

Author: Richard G. Cornell

Publisher: CRC Press

ISBN: 9781000110630

Category: Mathematics

Page: 496

View: 279

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This book focuses on public health and epidemiologic aspects of cancer, and explores the sources of information concerning the frequency of occurrence of human cancer. It describes statistical methods useful in studying problems arising in the field of cancer and its concurrent development.

Handbook of Statistics in Clinical Oncology Third Edition

A compilation of statistical topics relevant to these new advances in cancer research, this third edition of Handbook of Statistics in Clinical Oncology focuses on the design and analysis of oncology clinical trials and translational ...

Author: John Crowley

Publisher: CRC Press

ISBN: 9781439862001

Category: Mathematics

Page: 657

View: 480

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Many new challenges have arisen in the area of oncology clinical trials. New cancer therapies are often based on cytostatic or targeted agents, which pose new challenges in the design and analysis of all phases of trials. The literature on adaptive trial designs and early stopping has been exploding. Inclusion of high-dimensional data and imaging techniques have become common practice, and statistical methods on how to analyse such data have been refined in this area. A compilation of statistical topics relevant to these new advances in cancer research, this third edition of Handbook of Statistics in Clinical Oncology focuses on the design and analysis of oncology clinical trials and translational research. Addressing the many challenges that have arisen since the publication of its predecessor, this third edition covers the newest developments involved in the design and analysis of cancer clinical trials, incorporating updates to all four parts: Phase I trials: Updated recommendations regarding the standard 3 + 3 and continual reassessment approaches, along with new chapters on phase 0 trials and phase I trial design for targeted agents. Phase II trials: Updates to current experience in single-arm and randomized phase II trial designs. New chapters include phase II designs with multiple strata and phase II/III designs. Phase III trials: Many new chapters include interim analyses and early stopping considerations, phase III trial designs for targeted agents and for testing the ability of markers, adaptive trial designs, cure rate survival models, statistical methods of imaging, as well as a thorough review of software for the design and analysis of clinical trials. Exploratory and high-dimensional data analyses: All chapters in this part have been thoroughly updated since the last edition. New chapters address methods for analyzing SNP data and for developing a score based on gene expression data. In addition, chapters on risk calculators and forensic bioinformatics have been added. Accessible to statisticians and oncologists interested in clinical trial methodology, the book is a single-source collection of up-to-date statistical approaches to research in clinical oncology.